2024 SIAM New York-New Jersey-Pennsylvania Section Annual Conference

8:00 - 8:30 (30min)

Registration and Breakfast Snacks

Gosnell Atrium

8:30 - 8:40 (10min)

Opening Remarks

Gosnell 1250 Big Auditorium

Tony Harkin (RIT) and Roy Goodman (NJIT)

8:40 - 9:35 (55min)

Plenary I: Overcoming order reduction in Runge-Kutta methods via weak stage order: Theory and order barriers

Gosnell 1250 Big Auditorium

David Shirokoff (NJIT)

9:35 - 10:00 (25min)

Coffee break

Gosnell Hall Atrium

10:00 - 12:05 (2h05)

PDE

Gosnell A300 Small Auditorium

› Nonlinear dispersive waves, solitons, modulation theory and dispersive shocks in two spatial dimensions - Gino Biondini, State University of New York [Buffalo] 10:00-10:25 (25min)

› Initial Value Problems for the Kadomtsev-Petviashvili Equation with Wedge-Shaped Step-Like Initial Conditions - 10:25-10:50 (25min)

› A Reformulation of the Equation Error Approach for Direct Inversion from Full-Field Interior Data - Mobina Ghorbaninejad, Rochester Institute of Technology 10:50-11:15 (25min)

› On Galilean Invariance of Mean Kinetic Helicity - Dina Soltani Tehrani, University of Rochester 11:15-11:40 (25min)

› Determination of time-dependent source function in a parabolic equation - Sedar Ngoma, State University of New York at Geneseo 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Numerical Analysis

Gosnell 1250 Big Auditorium

› A consistent numerical approach to quantum graph computations - Roy Goodman, New Jersey Institute of Technology 10:00-10:25 (25min)

› Fast solvers for shape optimization of slip-driven axisymmetric microswimmers in Stokes flow - Ruowen Liu, Rider University 10:25-10:50 (25min)

› A fast numerical method for the inverse medium scattering problem - Thanh Nguyen, Rowan University 10:50-11:15 (25min)

› Construction of Local Reduced Order Models via Random Sampling - Charles Beall, Stevens Institute of Technology 11:15-11:40 (25min)

› Optimizing adaptive mesh refinement for numerical relativity - Chloe Malinowski, Rochester Institute of Technology 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Life Sciences

Gosnell 1154

› Modeling the spread of retinal detachment (RD) and its effects on the dynamics of the rod outer segment (ROS) renewal - William Annan, Clarkson University 10:00-10:25 (25min)

› Mathematical Modeling of Ocular Tissue Deformation due to Intraocular Pressure - Riley Supple, Rochester Institute of Technology 10:25-10:50 (25min)

› Configuring the soma-axon connection for temporally precise neural coincidence detection - Joshua Goldwyn, Swarthmore College 10:50-11:15 (25min)

› Exact Analytical Series Solutions to the SIR Epidemic Model - Daniel Hobbs, Rochester Institute of Technology 11:15-11:40 (25min)

› Student research in mathematical biology: mechanistic modeling and data science approaches - James Greene, Clarkson University 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Dynamical Systems

Gosnell 1174

› Dimension reduction of dynamical systems on graphons - Bisna Mary Eldo, Department of Mathematics, State University of New York at Buffalo, NY 14260-2900, USA 10:00-10:25 (25min)

› Dimensional reduction for hypergraph dynamical systems - Sarbendu Rakshit, Department of Mathematics, State University of New York at Buffalo, Buffalo, NY 14260-2900, USA 10:25-10:50 (25min)

› Parrondo's paradox in the dynamics of the susceptible-infectious-susceptible epidemic model over periodic temporal networks - Maisha Islam Sejunti, State University of New York [Buffalo] 10:50-11:15 (25min)

› Understanding Inertial and Non-Inertial Particle Dynamics in Geophysical Flows - Nishanta Baral, Montclair State University [USA] 11:15-11:40 (25min)

› Using off-diagonal entries of the covariance matrix to determine an optimized node set for early warning signals - Shilong Yu, Department of Mathematics, State University of New York at Buffalo 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Data Science

Gosnell 1300

› Detecting interpretable communities in multilayer correlation networks - Saiful Islam, Institute for Artificial Intelligence and Data Science, SUNY at Buffalo, Buffalo, NY 10:00-10:25 (25min)

› Topological Tools for Cybersecurity - Jason LaRuez, Rochester Institute of Technology 10:25-10:50 (25min)

› Efficient Diameter Algorithm for Large Graphs - Zhihui Du, New Jersey Institute of Technology - David Bader, New Jersey Institute of Technology 10:50-11:15 (25min)

› Experimental Design for Kernel Ridge Regression - Alex Gittens, Rensselaer Polytechnic Institute 11:15-11:40 (25min)

› Robust First and Second-Order Differentiation for Regularized Optimal Transport - Felix Ye, University at Albany 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Geosciences and Planet Earth

Gosnell 1305

› Incorporating Risk Aversion and Uncertainty into Coastal Adaptation Model - Carolina Estevez Loza, Rochester Institute of Technology 10:00-10:25 (25min)

› Disentangling the Oceanic Circulation - Hussein Aluie, University of Rochester 10:25-10:50 (25min)

› Assessing the Impact of Contamination on Microbial-Enzyme Dynamics and Soil Function - Sepideh Vafaie, Montclair State University [USA] 10:50-11:15 (25min)

› Exploring the Mechanisms Driving the North Atlantic Oscillation - Abdus Samad, University of Rochester 11:15-11:40 (25min)

› Mass Transport By Oceanic Mesoscale Eddies - Mehrnoush Kharghani, University of Rochester [USA] 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Discrete Math and Theoretical Computing

Gosnell 2178

10:00 - 12:05 (2h05)

Recent Developments in Modern Optimization

Gosnell 2345

Jiaming Liang

› A novel primal-dual algorithm for decentralized optimization over time-varying graphs - Xin Jiang, Cornell University 10:00-10:25 (25min)

› On representing (mixed-integer) linear programs by graph neural networks - Jialin Liu, University of Central Florida [Orlando] 10:25-10:50 (25min)

› Performance Estimation For Smooth and Strongly Convex Sets - Benjamin Grimmer, Johns Hopkins University 10:50-11:15 (25min)

› Universal subgradient and proximal bundle methods for convex and strongly convex hybrid composite optimization - Jiaming Liang, University of Rochester [USA] 11:15-11:40 (25min)

› The radius of statistical efficiency - Mateo Diaz, Johns Hopkins University 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Scientific Machine Learning and its Applications

Gosnell 2365

Wenrui Hao, Yue Yu

› Accelerating Transition Dynamics Simulation with Recent Advances in Probabilistic Machine Learning - Yuanqi Du, Cornell University [Ithaca] 10:00-10:25 (25min)

› An energy-stable machine-learning model of non-Newtonian hydrodynamics with molecular fidelity - Huan Lei, Michigan State University 10:25-10:50 (25min)

› Model-free identification and suppression of unknown disturbances to dynamical systems - Per Sebastian Skardal, Trinity College Hartford 10:50-11:15 (25min)

› Separable DeepONet: A Scalable Framework for High-Dimensional Physics-Informed Neural Operators - Somdatta Goswami, Johns Hopkins University 11:15-11:40 (25min)

› Exploiting Low-Dimensional Data Structures and Predicting Scaling Laws for Transformer Neural Networks - Wenjing Liao, Georgia Institute of Technology - Alex Havrilla, Georgia Institute of Technology 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Computational Fluid Mechanics and Fluid-Structure Interaction

Gosnell 2365

Michael Cromer, Paula Vasquez

› Boundary conditions for dynamic contact angles in the Volume-of-Fluid method - Shahriar Afkhami, New Jersey Institute of Technology 10:00-10:25 (25min)

› Modeling structure transition in living polymers - Michael Cromer, Rochester Institute of Technology 10:25-10:50 (25min)

› Flows of networked fluids: Bead-spring dumbbells, Roussian chains, formed chains, and anisotropy - Lin Zhou, Department of Mathematics, New York City College of Technology [CUNY] 10:50-11:15 (25min)

› Macro-micro simulations in complex fluids using GPU Computing - Paula A Vasquez, University of South Carolina [Columbia] 11:15-11:40 (25min)

10:00 - 12:05 (2h05)

Data-Driven Modeling and Analysis of Complex Systems

Nishant Malik

› Monsoon Prediction by Integrating Network Analysis with Machine Learning - Nishant Malik, Rochester Institute of Technology 10:00-10:25 (25min)

› Tree-based Learning for High-Fidelity Prediction of Chaos - 10:25-10:50 (25min)

› Analysis of a Coevolving Networks-based Opioid Epidemic Model - 10:50-11:15 (25min)

› Detecting Chaos in Fire - Jenna McDanold, Los Alamos National Laboratory, Rochester Institute of Technology 11:15-11:40 (25min)

› Severing as a Size Control Mechanism for Cytoskeleton Filaments and Bundles - Md Sorique Aziz Momin, Postdoctoral Associate, School of Physics and Astronomy, Rochester Institute of Technology 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics

› Newton Informed Neural Operator for Computing Multiple Solutions of Nonlinear Partial Differential Equations - Yahong Yang, The Penn State University 10:00-10:25 (25min)

› Analysis and computation of a generalized Ohta-Kawasaki model - Yanxiang Zhao, George Washington University 10:25-10:50 (25min)

› Element learning: accelerating finite element-type methods via operator learning with cost-effective training - Shukai Du, Syracuse University 10:50-11:15 (25min)

› Penalty Adversarial Network: A neural network-based method to solve PDE-constrained optimal control problems - Yukun Yue, University of Wisconsin-Madison 11:15-11:40 (25min)

› Finite Expression Method: A Symbolic Approach for Scientific Machine Learning - Haizhao Yang, University of Maryland, College Park 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Advances in Efficient and Accurate Kinetic and Fluid Solvers

Fengyan Li, Joseph Nakao

› Adjoint Monte Carlo Method for Kinetic Constrained Optimization Problems - Yunan Yang, Cornell University 10:00-10:25 (25min)

› A micro-macro decomposed reduced basis method for time-dependent radiative transfer equation - Fengyan Li, Rensselaer Polytechnic Institute 10:25-10:50 (25min)

› Adaptive-Rank Implicit Time Integrator for Advection-Diffusion Transport Equations with Inhomogeneous Coefficients - Hamad El Kahza, University of Delaware 10:50-11:15 (25min)

› Low-rank implicit integrators based on reduced augmentation for solving 3D advection-diffusion equations - Joseph Nakao, Swarthmore College 11:15-11:40 (25min)

› High-order accurate simulations for relativistic Vlasov systems - Jeff Banks, Rensselaer Polytechnic Institute 11:40-12:05 (25min)

10:00 - 12:05 (2h05)

Computational and Theoretical Advances in Physics-informed ML Models and UQ

Yue Yu, Akwum Onwunta, Jihong Wang

10:00 - 12:05 (2h05)

Recent Advances in Theoretical and Computational Inverse Problems

10:00 - 12:05 (2h05)

Recent Advances in Quantum Computing

Mohammadhossein Mohammadisiahroudi, Zeguan Wu

10:00 - 12:05 (2h05)

Machine Learning Theory and Applications

Yunlong Feng, Yanfang Liu

12:05 - 13:30 (1h25)

Box Lunch

Gosnell Hall Atrium

12:05 - 13:30 (1h25)

Poster Session

Gosnell Hall Atrium

13:30 - 14:25 (55min)

Plenary II MetaMath: A Quantitative Justice Project to Enhance EDI in the Mathematical Sciences

Gosnell 1250 Big Auditorium

Ron Buckmire (Marist)

14:30 - 16:35 (2h05)

Dynamical Systems

Gosnell 1174

› Data assimilation for astrophysical systems - Eve Armstrong, New York Institute of Technology; American Museum of Natural History 14:30-14:55 (25min)

› Disorder in foams and other 2-d microstructures - Joe Klobusicky, University of Scranton 14:55-15:20 (25min)

› Learning Noise-Robust Stable Koopman Operator for Control with Physics-Informed Observables - Shahriar Akbar Sakib, Rensselaer Polytechnic Institute 15:20-15:45 (25min)

› Evaluating Equity in Dynamical Systems Models - Nicole Zalewski, Temple University 15:45-16:10 (25min)

› Global dynamics in applied delay differential models - Anatoli Ivanov, Pennsylvania State University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Data-Driven Modeling and Analysis of Complex Systems

› Landslide geometry and topology for elucidating triggers and movement - Kamal Rana, Rochester Institute of Technology 14:30-14:55 (25min)

› Unraveling Social Dynamics: Exploring Structural Balance in Temporal Signed Networks Among Taiwanese High School Students - Hsuan-Wei Lee, Department of Community and Population Health, Lehigh University 14:55-15:20 (25min)

› Rigged DMD: Data-driven generalized eigenfunction decompositions for Koopman operators - Andrew Horning, Rensselaer Polytechnic Institute 15:20-15:45 (25min)

› Network-Driven QBO Analysis - Daniel Oleynikov, Rochester Institute of Technology 15:45-16:10 (25min)

› Interacting Particle Systems on Networks: joint inference of the network and the interaction kernel - Xiong Wang, Johns Hopkins University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Life Sciences

› Using stochastic cellular automata to model growth of pCF10-induced complex structures in Enterococcus faecalis under erythromycin treatment - Madison Shoraka, Lewis Katz School of Medicine 14:30-14:55 (25min)

› Predicting particle deposition in an adult human lung using an oscillatory, lumped respiratory model - Jordana O'Brien, Rochester Institute of Technology 14:55-15:20 (25min)

› Synergy of Triple Combination Therapy for Biofilm Eradication - Vedat Kurtay, Rochester Institute of Technology - Blessing O. Emerenini, Rochester Institute of Technology 15:20-15:45 (25min)

› Modeling the Spread of Spotted Lanternfly in Vineyards and Across Multiple Scales - Woods Jacob, Temple University [Philadelphia] 15:45-16:10 (25min)

› Quantitative Preventative Approaches to Diabetes: Mathematical Modeling and Analysis - Rushi Bhatt, Montclair State University [USA] 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Computational Fluid Mechanics and Fluid-Structure Interaction

› Coupled Mechanics of Semiflexible Filaments on Fluid Membranes - Sanjay Dharmavaram, Bucknell University 14:30-14:55 (25min)

› Emergent flow asymmetries from the metachronal paddling of gossamer worm parapodia - Alexander Hoover, Cleveland State University 14:55-15:20 (25min)

› Fluid-Level Performance of Multi-Agent Systems - Benjamin Seibold, Temple University [Philadelphia] 15:20-15:45 (25min)

› Hydrodynamics of a vesicle enclosing an active particle suspension - Yuan-Nan Young, New Jersey Instittue of Technology 15:45-16:10 (25min)

› The influence of geometry on squirming in a heterogeneous medium - Herve Nganguia, Towson University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Numerical Analysis

› A New Fick-Jacobs Derivation with Applications to Computational Diffusion Networks - Zachary Miksis, Temple University [Philadelphia] 14:30-14:55 (25min)

› Simple, Convergent Sketched Tucker Decompositions - Alex Gittens, Rensselaer Polytechnic Institute 14:55-15:20 (25min)

› Polynomial Interpolation on the Square and Cube - Richard Greene, New Jersey Institute of Technology [Newark] 15:20-15:45 (25min)

› A Quadratic Penalty and Moreau Envelope Descent Algorithm for Constrained Global Minimization - Stephanie Wang, University of Rochester [USA] 15:45-16:10 (25min)

› Randomized Multiscale Methods for Heterogeneous Nonlinear Partial Differential Equations - Kathrin Smetana, Stevens Institute of Technology [Hoboken] 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Recent Advances in Graphs, Groups, and their Applications

Carmine Monetta, Mark Lewis

› Gruenberg-Kegel graphs of finite groups - Thomas Michael Keller, Texas State University 14:30-14:55 (25min)

› Maximal noncommuting sets and its application in infinite groups - Mohammad Zarrin, Texas State University 14:55-15:20 (25min)

› On vanishing class sizes in finite groups: recent results - Mariagrazia Bianchi, Università degli Studi di Milano = University of Milan 15:20-15:45 (25min)

› Characterizing finite groups whose enhanced power graphs have universal vertices - Mark Lewis, Kent State University 15:45-16:10 (25min)

› Graph isomorphisms and group invariants - Carmine Monetta, Università degli Studi di Salerno = University of Salerno 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Scientific Machine Learning and its Applications

Wenrui Hao, Yue Yu

› Reconstruction of cerebral spinal fluid flow in the brain using scientific machine learning - Mohammad Vaezi, University of Rochester 14:30-14:55 (25min)

› Physics-informed neural networks for forward and inverse problems of Biot's model - Mingchao Cai, Morgan State University 14:55-15:20 (25min)

› Generative Downscaling of PDE Solvers With Physics-Guided Diffusion Models - Wuzhe Xu, University of Massachusetts Amherst 15:20-15:45 (25min)

› Self-adaptive weighting and sampling for physics-informed neural networks and deep operator networks - Wenqian Chen, Pacific Northwest National Laboratory 15:45-16:10 (25min)

› Nonlocal Attention Operator: Towards an Interpretable Foundation Model - Yue Yu, Lehigh University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Optimization

› On the Heterogenous k-Disjoint Biclique Problem - Abiodun Sumonu, The University of Alabama - Brendan Ames, University of Southampton 14:30-14:55 (25min)

› Mathematical Optimization of Supply Chain Networks and Warehouse Design for Enhanced Efficiency in DHL Operations - Yiyi Cao, SUNY Binghamton University 14:55-15:20 (25min)

› Quantum Approximate Optimization in the Early Fault-Tolerant Era - Zichang He, JPMorganChase 15:20-15:45 (25min)

› Effective support, Dirac combs, and signal recovery - Kelvin Nguyen, University of Rochester 15:45-16:10 (25min)

› Computing Proximity Operators for Scale and Signed Permutation Invariant Functions - Jianqing Jia, Syracuse University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Multiscale Flows

› Scale Decomposition and Kinetic Energy Cascade in the Troposphere and Stratosphere - Pejman Hadi Sichani, University of Rochester 14:30-14:55 (25min)

› Global Ocean Cascades and a Direct Gyrescale-Mesoscale Energy Pathway Induced by the Atmosphere - 14:55-15:20 (25min)

› Intermit dynamics of emulsions in porous media - Shima Parsa, Rochester Institute of Technology 15:20-15:45 (25min)

› Tip-splitting or fast fingers: pattern formation in miscible displacement - Will Braun, Rochester Institute of Technology 15:45-16:10 (25min)

› Role of Earth's magnetic field on the deposition of terrestrial volatile species in lunar nearside regolith - Shubhonkar Paramanick, University of Rochester 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Data Science

14:30 - 16:35 (2h05)

Advances in Efficient and Accurate Kinetic and Fluid Solvers

› Semi-Lagrangian Adaptive-Rank (SLAR) Methods for Linear Advection Equations and the Nonlinear Vlasov-Poisson System - Nanyi Zheng, Department of Mathematical Sciences 14:30-14:55 (25min)

› The Runge–Kutta discontinuous Galerkin method with stage-dependent polynomial spaces for hyperbolic conservation laws - Zheng Sun, The University of Alabama 14:55-15:20 (25min)

› A hybrid Monte Carlo, discontinuous Galerkin method for linear kinetic transport equations - Krotz Johannes, Notre Dame 15:20-15:45 (25min)

› Reduced-Order Modeling of Neutron Transport by Proper Generalized Decomposition - Kurt Dominesey, Naval Nuclear Laboratory 15:45-16:10 (25min)

› Gauge conserving particle methods that naturally satisfy the involutions of Maxwell's equations - Stephen White, Michigan State University [East Lansing] 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Mathematical Modeling of Drug Delivery

Kara Maki, Lucia Carichino, Narshini Gunputh

› A mathematical model of drug delivery via a contact lens during wear - Rayanne Luke, George Mason University [Fairfax] 14:30-14:55 (25min)

› Quantitative model of the ocular immune response to seasonal allergic conjunctivitis - Narshini Gunputh, Rochester Institute of Technology 14:55-15:20 (25min)

› No model is an island: QSP with support from PBPK - Christina Battista, Simulations Plus 15:20-15:45 (25min)

› Mathematical Model of Gene Therapy Treatment for Neovascular Age-related Macular Degeneration - Lucia Carichino, Rochester Institute of Technology 15:45-16:10 (25min)

› Development of PBPK Model to Characterize Ocular Disposition of Protein Therapeutics - Dhaval Shah, University at Buffalo 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Applied Math

› Mathematical Modeling of Sieving and Adsorptive Fouling in Membrane Pore Networks - Binan Gu, Worcester Polytechnic Institute 14:30-14:55 (25min)

› Surface Variability Mapping and Roughness Analysis of the Moon Using a Coarse-Graining Decomposition - Siyu Xue, University of Rochester 14:55-15:20 (25min)

› Analytical Solution for Heat Transfer across the Boundary Layer Induced - William Reinberger, Rochester Institute of Technology 15:20-15:45 (25min)

› Exact Analytical Solution for the Boundary Layer Flow Induced by a Moving Surface - Nathaniel Barlow, Rochester Institute of Technology 15:45-16:10 (25min)

› Interfacial instability of a two-layer viscoelastic flow - Nastaran Rezaei, NJIT 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Recent Advances in Physics-informed and Structure-Preserving Numerical Methods for Nonlinear Dynamics

› A Pressure-Robust Hybridized Discontinuous Galerkin Method for the Cahn-Hilliard-Navier-Stokes System - Keegan Kirk, George Mason University [Fairfax] 14:30-14:55 (25min)

› Adaptive Sampling and Transfer Learning Applied to the Deep Galerkin Method for Solving PDEs - Andreas Aristotelous, University of Akron 14:55-15:20 (25min)

› Solving the Fokker-Planck Equation with Tensor Neural Networks: Addressing High-Dimensional and Multi-Scale Challenges - Wang Taorui, Worcester Polytechnic Institute 15:20-15:45 (25min)

› Spectral element method for 3D spherical dynamo equations. - Lina Ma, Trinity College 15:45-16:10 (25min)

› Structure-preserving reduced order models for thermodynamically consistent reversible-irreversible PDEs - Zengyan Zhang, The Pennsylvania State University 16:10-16:35 (25min)

14:30 - 16:35 (2h05)

Computational and Theoretical Advances in Physics-informed ML Models and UQ

Yue Yu, Akwum Onwunta, Jihong Wang

14:30 - 16:35 (2h05)

Recent Advances in Theoretical and Computational Inverse Problems

14:30 - 16:35 (2h05)

Optimization Methods and Applications

Mohammadhossein Mohammadisiahroudi, Zeguan Wu

16:35 - 17:00 (25min)

Coffee break

Gosnell Hall Atrium

17:00 - 17:55 (55min)

Plenary III: Applied Mathematics Problems in Cancer Immunotherapy Drug Development

Gosnell 1250 Big Auditorium

Carolyn Cho (Eikon Therapeutics)

Planning